Early identification of landslides in Panzhihua area using SBAS-InSAR technique and optical images based on phase recovery
To overcome the problems of the overestimation of coherence and the low density and quality of high coherence points existing in the traditional SBAS-InSAR technique,this paper introduced phase recovery into SBAS-InSAR and used the method of selecting high-coherence points to enhance the accuracy of deformation rate inversion.It also utilized the high-resolution optical image of GF1 to identify the deformation monitoring results of InSAR and then to improve the accuracy and comprehensiveness of the early identification of landslides in the study area.The results showed that the density and quality of the selected high-coherence points were significantly improved after the use of phase recovery method.A total of 28 hazardous points were identified in the study area,among which 11 pints were completely matched with the known hazardous points and 17 pints were newly identified landslide hazardous points,which were confirmed by the randomly-selected on-site investigations.Therefore,introducing phase recovery into SBAS-InSAR can effectively improve the density and quality of high coherence point selection,through which the coherence can be effectively corrected,thus improving the accuracy of deformation monitoring.In addition adding the deformation information obtained by the optical image is an effective supplement for the early identification and interpretability of the landslide hazard points.
NETL
NSTL
万方数据
